Bike-Sharing-Dataset

MUHAMAD ALIF RAMADHAN | @malifram | Dicoding Indonesia - IDCamp 2024

Summary

This project is a data analysis and visualization project focused on the "Bike Sharing Dataset." It includes code for data processing, exploratory data analysis (EDA), and a Streamlit dashboard for interactive data exploration. The goal of this project is to analyze the "Bike Sharing Dataset."

Features

• Total Users of Bicycle Rental
• User Growth Trends
• Total Daily Users
• Percentage of Users
• Bicycle Rental Trends by Hour
• RFM Analysis

Technologies

• Python: Data Processing and Visualizations
• Pandas, NumPy, Matplotlib, Seaborn: Data Analysis and Plotting
• Streamlit: Web Application Framework

Setup

1. Clone the repository:

   git clone https://github.com/malifram/Bike-Sharing-Dataset-Analysis

2. Navigate to the project directory:

   cd dashboard

3. Install the required dependencies:

   pip install -r requirements.txt

4. Run the application locally:

   streamlit run dashboard.py

Data Source

This project uses the E-Commerce Public Dataset from the Learn Data Analysis with a Final Project in Python course offered by Dicoding

URL Streamlit

https://alex900.streamlit.app